18 Statistical dispersion methods

 

This chapter covers

  • Measures of statistical dispersion
  • Variance method
  • Standard deviation method
  • Range method
  • Mean absolute deviation method
  • Median absolute deviation method
  • Computing churn
  • Creating pyramid plots

Our primary purpose here is to introduce several methods of statistical dispersion. Otherwise known as statistical variability or spread, statistical dispersion is a measure of how much a vector of continuous data is spread out or scattered around a middle value. It’s often not enough to just know the mean or median; knowing the methods by which to compute statistical dispersion is essential for gaining a true understanding of numeric data, with practical implications around assessing risk and measuring consistency and volatility frequently on the line.

18.1 Loading a package

 
 
 

18.2 Importing data

 

18.3 Exploring and wrangling data

 
 
 

18.4 Measures of statistical dispersion and intra-season parity

 
 

18.4.1 Variance method

 
 
 

18.4.2 Standard deviation method

 

18.4.3 Range method

 
 

18.4.4 Mean absolute deviation method

 
 

18.4.5 Median absolute deviation method

 
 

18.5 Churn and inter-season parity

 
 
 
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